Invited Speaker at the 2026 Systems Aging Gordon Research Conference titled: Complexities of Aging Across Species, Evolution, Reproduction, Human Longevity and Frailty Source: https://www.grc.org/systems-aging-conference/2026/
MassAITC pilot PI Wenyao Xu has been named the director of University at Buffalo's new Center for Translational AI and Digital Health Source: https://www.buffalo.edu/news/releases/2026/06/ub-center-translational-ai-digital-health.html
Authors: Jiangyifei Zhu, Kuang Yuan, Akrash Prabhakara, Yunzhi Li, Gongwei Wang, Kelly Michaelsen, Justin Chan & Swarun Kumar Abstract Pulse Transit Time (PTT) is a measure of arterial stiffness and a physiological marker associated with cardiovascular function, with an inverse relationship to diastolic blood pressure (DBP). We present an AI-enabled mmWave system for contactless multi-site PTT measurement using a single radar. By leveraging radar beamforming and deep learning algorithms our system simultaneously measures PTT and estimates diastolic blood pressure at multiple sites. The system was evaluated across three physiological pathways – heart-to-radial artery, heart-to-carotid artery, and mastoid area-to-radial artery – achieving correlation coefficients of 0.75–0.86 compared to contact-based reference sensors for measuring PTT. Furthermore, the system demonstrated correlation coefficients of 0.90–0.91 for estimating DBP, and achieved a mean error of -0.62–0.06 mmHg and standard deviation…
The Speck from Blue Iris Labs is a wearable light exposure sensor designed to help users understand daily light exposure patterns and how those patterns may relate to sleep and circadian health. Source: blueirislabs.com
Authors: Xian Du, Meysam Safarzadeh, Maoqin Zhu, Shishir Prasad, Sudeshna Das, Joohyun Chung Abstract Pain monitoring and assessment traditionally rely on subjective methods such as self-reports and caregiver evaluations, which can be costly and often inaccurate due to their inherent subjectivity and reliance on the individual's communication skills. Many objective methods have been introduced to address these issues, primarily utilizing single or multiple wearable sensor modalities. However, these approaches face challenges in home care settings, particularly concerning continuous wearability and discomfort, especially among elderly users. An alternative solution is using patient monitoring tools such as various imaging modalities to detect pain-related facial expressions. In this paper, we developed a new transformer model to extract pain-related features from facial expressions captured through three imaging modalities—RGB, thermal, and depth across sequential images. This method can leverage the…
Project Abstract Sound Sensitivity and Tolerance (SST) disorders represent an urgent public health challenge in hearing disorders, affecting over 350,000 new patients annually in the United States with an economic burden exceeding $14 billion. While SST frequently co-occurs with conditions like autism spectrum disorder, PTSD, and migraine, current clinical assessment methods remain largely subjective and inaccessible, particularly for underserved populations. Recent research shows that Auditory Pupillary Response (APR) provides a promising objective biomarker for SST, as affected individuals exhibit distinct pupillary reactions to sound stimuli. However, measuring APR currently requires expensive clinical equipment and controlled laboratory settings, creating significant barriers to widespread adoption. This project aims to transform SST assessment through AudioSight, an innovative smartphone-based system that enables accessible, objective measurement of APR. Building on our preliminary data showing clear APR differentiation between SST patients…
Abstract: Burnt-out therapists struggling with cognitive rehab. Frustrated students battling inaccurate speech-to-text in noisy classrooms. Eye-gaze users who are stuck with slow communication methods. The Babel Group, founded by two Speech-Language Pathologists whose mission is “Innovation with a Conscience,” will introduce three innovative tools that tackle these challenges head-on. From faster AAC access to privacy-friendly speech recognition and customizable therapy activities, discover solutions that empower communication, restore professional energy, and bring joy back to therapy and learning. Source: https://s3.goeshow.com/atia/orlando/2026/new_session_directory.cfm